Barriers and facilitators for the sustainability of digital health interventions in low and middle-income countries: A systematic review

Impact of digital health on the quality of primary care for people with chronic noncommunicable diseases: A scoping review protocol

BACKGROUND

Chronic Non-Communicable Diseases (NCDs) represent a significant global challenge, especially in low- and middle-income countries. The introduction of digital health in Primary Health Care (PHC) has the potential to improve the quality of care for people with NCDs by offering tools such as telemedicine, mobile applications and other information and communication technologies. The aim of this study is to identify and map global experiences of using Information and Communication Technologies (ICTs) in primary care for non-communicable diseases and assess their impact on the quality of care in PHC.

METHODS

This study presents a scoping review protocol based on the Joanna Briggs Institute criteria and the PRISMA-ScR guidelines. The review will be carried out in nine stages, including defining the aim and research questions, developing inclusion and exclusion criteria, and searching, selecting, extracting and analyzing the evidence. The databases consulted include MEDLINE/PubMed, JBI Evidence Synthesis and Open Science Framework.

RESULTS

The review will identify and map global experiences in the use of ICTs in primary care for NCDs and assess their impact on the quality of care in PHC. It is hoped to find studies that address the use of digital technologies for early detection, management and follow-up of NCDs, as well as their integration with traditional health systems.

CONCLUSIONS

The integration of digital technologies into PHC has the potential to improve the quality of care, but it can also accentuate inequities. It is necessary to consider digital health literacy, access to tools, and legal and ethical aspects of data protection. The review will highlight the need for robust policies and adequate infrastructure to support the effective implementation of digital health in PHC.

Tablet- and Group-Based Multicomponent Cognitive Stimulation for Older Adults With Mild Cognitive Impairment: Single-Group Pilot Study and Protocol for Randomized Controlled Trial

BACKGROUND

Cognitive stimulation therapy is a group-based psychological treatment for people with dementia as well as those with mild cognitive impairment (MCI) and is shown to improve both cognition and quality of life. Previous studies have indicated the potential to benefit from the use of technological devices in group interventions.

OBJECTIVE

The pilot study aimed to assess the effectiveness of a tablet- and group-based multicomponent cognitive stimulation therapy (MCST) for enhancing cognitive functions among older adults with MCI. The following study aims to report the protocol for a trial evaluating whether the MCST program is affecting individuals with MCI.

METHODS

In the first study, 30 individuals with MCI participated in 10 sessions of the tablet- and group-based MCST group. A subsequent protocol study will compare tablet-based MCST, tablet-based cognitive stimulation therapy, and control groups among 93 individuals with MCI. All participants will be recruited from older adults living in semiurban communities. Intervention groups will be facilitated by trained therapists, nurses, or psychologists. The study will be assessed by a pre- and posttest evaluation, including computer-based neuropsychological tests and electroencephalography assessment. The effects of several indicators, such as cognitive functions, behavioral, and emotional, will be analyzed as being indexed by their neurophysiological data.

RESULTS

The pilot study showed significant cognitive improvement (P<.001), reduced depression (P=.002), and decreased state anxiety (P=.001) post intervention. Quality of life remained unchanged (P=.18). The randomized controlled trial study was funded in March 2023. Enrolling began in August 2023 and was completed in December 2023. The data analysis was started, and the results are expected to be published by mid- to late-2025.

CONCLUSIONS

The study is the first tablet-group-based MCST for older adults with MCI in middle-income countries. It will provide deeper insight into participants' neuropsychological data, thus identifying specific processes underlying physiologically measured positive outcomes. Furthermore, the project will deliver solid and integrative results to mental health professionals in terms of knowledge and guidance for implementing the tablet- and group-based MCST in people with MCI.

TRIAL REGISTRATION

Thai Clinical Trials Registry TCTR20230829004; https://tinyurl.com/3wuaue3e.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

DERR1-10.2196/64465.

The Research Agenda for Perinatal Innovation and Digital Health Project: Human-Centered Approach to Multipartner Research Agenda Codevelopment

BACKGROUND

Digital health innovations provide an opportunity to improve access to care, information, and quality of care during the perinatal period, a critical period of health for mothers and infants. However, research to develop perinatal digital health solutions needs to be informed by actual patient and health system needs in order to optimize implementation, adoption, and sustainability.

OBJECTIVE

Our aim was to co-design a research agenda with defined research priorities that reflected health system realities and patient needs.

METHODS

Co-design of the research agenda involved a series of activities: (1) review of the provincial Digital Health Strategy and Maternity Services Strategy to identify relevant health system priorities, (2) anonymous survey targeting perinatal care providers to ascertain their current use and perceived need for digital tools, (3) engagement meetings using human-centered design methods with multilingual patients who are currently or recently pregnant to understand their health experiences and needs, and (4) a workshop that brought together patients and other project partners to prioritize identified challenges and opportunities for perinatal digital health in a set of research questions. These questions were grouped into themes using a deductive analysis approach starting with current BC Digital Health Strategy guiding principles.

RESULTS

Between September 15, 2022, and August 31, 2023, we engaged with more than 150 perinatal health care providers, researchers, and health system stakeholders and a patient advisory group of women who were recently pregnant to understand the perceived needs and priorities for digital innovation in perinatal care in British Columbia, Canada. As a combined group, partners were able to define 12 priority research questions in 3 themes. The themes prioritized are digital innovation for (1) patient autonomy and support, (2) standardized educational resources for patients and providers, and (3) improved access to health information.

CONCLUSIONS

Our research agenda highlights the needs for perinatal digital health research to support improvements in the quality of care in British Columbia. By using a human-centered design approach, we were able to co-design research priorities that are meaningful to patients and health system stakeholders. The identified priority research questions are merely a stepping stone in the research process and now need to be actioned by research teams and health systems partners.

Explore barriers to using the internet for health information access in African countries: A systematic review

BACKGROUND

The Internet is a crucial source of health information, providing access to vast volumes of high-quality, up-to-date, and relevant healthcare information. Its impact extends beyond information access, influencing medical practice through the widespread adoption of telemedicine and evidence-based medicine. Despite the significant global increase in internet usage, Africa lags in internet penetration, particularly in utilizing the internet for health information. This study aims to systematically review the literature to explore barriers to accessing health information on the Internet in African countries.

METHODS

The study was conducted from January 1 to February 28, 2023. It followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guideline to systematically review published studies investigating the utilization of the Internet for health information in African countries. A comprehensive search was conducted across various databases, including Google Scholar, PubMed, Cochrane Library, Hinari, CINAHL, and Global Health. The inclusion criteria were applied, resulting in the selection of six studies that formed the basis for our analysis.

RESULT

This systematic review identifies eleven barriers to accessing health information on the internet. These include a lack of ownership of smart electronic devices, infrequent internet use, limited internet access, low E-health and computer literacy, slow internet connection, high cost of internet access, insufficient information search skills, residing in rural areas, dealing with diverse fields, and having low perceptions.

CONCLUSION

Improving our understanding of barriers to accessing health information online is essential for policymakers, governments, academics, and healthcare professionals. To enhance the use of the Internet for health information and strengthen the overall health system, policymakers should prioritize increasing Internet accessibility, reducing costs, improving connections, offering basic computer skills training, and ensuring the availability of electronic devices in all institutions.

Enhancing Digital Health Engagement in Chronic Disease: The Role of Doctor-Patient Communication and Media Use in Acceptance of Digital Health Care Among End-Stage Kidney Disease Patients

This study examines digital health challenges among end-stage kidney disease (ESKD) patients, a population characterized by older age, lower socioeconomic status, and limited access to modern technologies. Drawing from the Mere Exposure Effect, the Technology Acceptance Model, and insights from doctor-patient communication literature, our study implemented a month-long intervention across three distinct groups. The Digital Media Exposure Group watched doctor-recommended videos on YouTube using a tablet PC twice weekly for four weeks. The Digital Media Exposure with Doctor-Patient Communication Group engaged in physician-led discussions about the viewed content during their medical visits in addition to the activities in the first group. The Control Group received printed medical information that mirrored the content of the videos. Participants in this study, all of whom were diagnosed with ESKD, were recruited from a university hospital in South Korea (n = 88, Mage = 64.8). Their perceptions, attitudes, and behavioral intentions regarding digital health care were measured and compared between groups. The results unveiled significant group differences [Wilk's Λ = 0.829, F(8, 164) = 2.02, p = 0.047, partial η2 = 0.090], with variations in attitudes, perceived ease of use, and intentions among groups, and effect sizes ranging from 0.069 to 0.096.These findings underscore the importance of tailored interventions to address digital health disparities, particularly among underserved demographic groups. Strategies that prioritize user-friendly interfaces and clear communication between doctors and patients are advocated to promote digital health engagement, ensuring equitable access and improved outcomes for patients with chronic disease.

DiScO: novel rapid systems mapping to inform digital transformation of health systems

Background

Global health systems are confronting challenges that intersect climate change with evolving communicable and non-communicable public health risks. Addressing these challenges requires systems integration via citizen big data that exist outside health systems. However, systems integration across jurisdictions is a complex challenge that requires stakeholder input. This study's purpose was to conduct rapid systems mapping with international health system stakeholders to inform the development and implementation of a global digital citizen science observatory (DiScO), which aims to catalyze digital transformation of health systems across jurisdictions.

Methods

A rapid qualitative systems mapping study was conducted during the International Society for Behavioral Nutrition and Physical Activity Annual Global Summit in Uppsala, Sweden, in June 2023. The choice of the venue and approach was informed by three key criteria: (1) Established evidence linking physical activity and nutrition with non-communicable diseases; (2) Concrete existing methods of obtaining citizen big data by physical activity and nutrition researchers; (3) Precedence of physical activity and nutrition researchers conducting citizen science as well behavioral/clinical big data collection. The design of this study was an innovative pre-post systems map development, which consisted of (1) real-time rapid systems mapping (pre/initial map) by engaging with international stakeholders and (2) adjustment of the real-time systems map (post/final map) after analyzing stakeholder discussion data.

Results

Rapid systems mapping resulted in a complex network that included key themes to successfully develop and implement DiScO: priorities, opportunities, risks, challenges, partnerships, and resources. Additionally, a new theme emerged organically through stakeholder group discussions - mitigation strategies. The adapted rapid systems map (i.e., after data analyses) depicts 23 key nodes of intervention across the seven key themes.

Conclusion

Rapid systems mapping at international symposia is a novel methodological approach to capture stakeholder input, particularly to understand complexity across international jurisdictions - an approach that can be replicated across disciplines and sectors to inform digital transformation of health systems. The development and implementation of DiScO, a platform for decentralization and democratization of technology, will take into consideration all the key nodes of intervention identified in the rapid systems map to promote digital health for equity across global jurisdictions.

Managing Patients With COVID-19 in Armenia Using a Remote Monitoring System: Descriptive Study

BACKGROUND

The COVID-19 pandemic has imposed immense stress on global health care systems, especially in low- and middle-income countries (LMICs). Armenia, a middle-income country in the Caucasus region, contended with the pandemic and a concurrent war, resulting in significant demand on its already strained health care infrastructure. The COVID@home program was a multi-institution, international collaboration to address critical hospital bed shortages by implementing a home-based oxygen therapy and remote monitoring program.

OBJECTIVE

The objective of this study was to describe the program protocol and clinical outcomes of implementing an early discharge program in Armenia through a collaboration of partner institutions, which can inform the future implementation of COVID-19 remote home monitoring programs, particularly in LMICs or low-resource settings.

METHODS

Seven hospitals in Yerevan participated in the COVID@home program. A web app based on OpenMRS was developed to facilitate data capture and care coordination. Patients meeting eligibility criteria were enrolled during hospitalization and monitored daily while on oxygen at home. Program evaluation relied on data extraction from (1) eligibility and enrollment forms, (2) daily monitoring forms, and (3) discharge forms.

RESULTS

Over 11 months, 439 patients were screened, and 221 patients were managed and discharged. Around 94% (n=208) of participants safely discontinued oxygen therapy at home, with a median home monitoring duration of 26 (IQR 15-45 days; mean 32.33, SD 25.29) days. Women (median 28.5, mean 35.25 days) had similar length of stay to men (median 26, mean 32.21 days; P=.75). Despite challenges in data collection and entry, the program demonstrated feasibility and safety, with a mortality rate below 1% and low re-admission rate. Opportunities for operational and data quality improvements were identified.

CONCLUSIONS

This study contributes practical evidence on the implementation and outcomes of a remote monitoring program in Armenia, offering insights into managing patients with COVID-19 in resource-constrained settings. The COVID@home program's success provides a model for remote patient care, potentially alleviating strain on health care resources in LMICs. Policymakers can draw from these findings to inform the development of adaptable health care solutions during public health crises, emphasizing the need for innovative approaches in resource-limited environments.

The Impact of Digital Health Solutions on Bridging the Health Care Gap in Rural Areas: A Scoping Review

Digital health tools can improve health care access and outcomes for individuals with limited access to health care, particularly those residing in rural areas. This scoping review examines the existing literature on using digital tools in patients with limited access to health care in rural areas. It assesses their effectiveness in improving health outcomes. The review adopts a comprehensive search strategy to identify relevant studies from electronic databases, and the selected studies are analyzed descriptively. The findings highlight the advantages and barriers of digital health interventions in rural populations. The advantages include increased access to health care practitioners through teleconsultations, improved health care outcomes through remote monitoring, better disease management through mobile health applications and wearable devices, and enhanced access to specialized care and preventive programs. However, limited internet connectivity and a lack of familiarity with digital tools are barriers that must be addressed to ensure equitable access to digital health interventions in rural areas. Overall, digital tools improve health outcomes for individuals with limited health care access in rural areas.

The coming of age of digital technologies in global health within the Indian context: a review

Digital approaches have been recognized as an essential instrument for improving health systems to fulfill the Sustainable Development Goals (SDGs) and the targets for universal health care. This review article discusses policy and regulatory developments in the arena of digital health, at the global level, with a particular focus on India. It also points out that there is a need for convergence among industry, policymakers, and civil society in addressing issues of privacy and accessibility to all individuals who require affordable and quality healthcare. For the best use of digital services, inter-sectoral collaboration is necessary to integrate organizational, human, financial, and technological resources.

Obstetric Emergency Supply Chain Dynamics and Information Flow Among Obstetric Emergency Supply Chain Employees: Key Informant Interview Study

BACKGROUND

For the past several decades, the Ethiopian Ministry of Health has worked to decrease the maternal mortality ratio (MMR)-the number of pregnant women dying per 100,000 live births. However, with the most recently reported MMR of 267, Ethiopia still ranks high in the MMR globally and needs additional interventions to lower the MMR to achieve the sustainable development goal of 70. One factor contributing to the current MMR is the frequent stockouts of critical medications and supplies needed to treat obstetric emergencies.

OBJECTIVE

This study describes the obstetric emergency supply chain (OESC) dynamics and information flow in Amhara, Ethiopia, as a crucial first step in closing stockouts and gaps in supply availability.

METHODS

Applying qualitative descriptive methodology, the research team performed 17 semistructured interviews with employees of the OESC at the federal, regional, and facility level to describe and gain an understanding of the system in the region, communication flow, and current barriers and facilitators to consistent emergency supply availability. The team performed inductive and deductive analysis and used the "Sociotechnical Model for Studying Health Information Technology in Complex Adaptive Healthcare Systems" to guide the deductive portion.

RESULTS

The interviews identified several locations within the OESC where barriers could be addressed to improve overall facility-level readiness, such as gaps in communication about supply needs and availability in health care facilities and regional supply hubs and a lack of data transparency at the facility level. Ordering supplies through the integrated pharmaceutical logistics system was a well-established process and a frequently noted strength. Furthermore, having inventory data in one place was a benefit to pharmacists and supply managers who would need to use the data to determine their historic consumption. The greatest concern related to the workflow and communication of the OESC was an inability to accurately forecast future supply needs. This is a critical issue because inaccurate forecasting can lead to undersupplying and stockouts or oversupplying and waste of medication due to expiration.

CONCLUSIONS

As a result of these interviews, we gained a nuanced understanding of the information needs for various levels of the health system to maintain a consistent supply of obstetric emergency resources and ultimately increase maternal survival. This study's findings will inform future work to create customized strategies that increase supply availability in facilities and the region overall, specifically the development of electronic dashboards to increase data availability at the regional and facility levels. Without comprehensive and timely data about the OESC, facilities will continue to remain in the dark about their true readiness to manage basic obstetric emergencies, and the central Ethiopian Pharmaceutical Supply Service and regional hubs will not have the necessary information to provide essential emergency supplies prospectively before stockouts and maternal deaths occur.

Protocol of digital decision support system (DDSS) embedded within a tele-primary healthcare platform in Pakistan: an assessment of usability, acceptability, effectiveness and perceived quality of care in a resource-constrained setting

BACKGROUND

A digital decision support system in healthcare is a digital health intervention that assists healthcare professionals in decision-making by providing treatment recommendations and enhancing diagnostic accuracy and quality of care. This will be the first study in Pakistan to assess the system's usability, acceptability and effectiveness in improving healthcare outcomes while also evaluating the perceived quality of care. This comprehensive assessment will inform policy development in areas such as the scale-up of digital health interventions, data privacy and technology interoperability. Measures of effectiveness will include changes in clinical outcomes through a patient exit feedback survey. This study aims to evaluate the role of digital decision support systems in healthcare decision-making, which may be integrated into Pakistan's tele-primary healthcare system.

METHODS

The study will employ a multimethod approach. The data collection tools are adapted from the WHO's digital health intervention monitoring and evaluation framework and include a technology assessment, healthcare provider surveys, patient exit interviews and focus group discussions with healthcare providers. Purposive sampling will be used for qualitative interviews with providers (doctors) and patients. Government stakeholders, private sectors, multilateral, academia and policymakers will be engaged through a consultative meeting. We will also conduct a literature review, as well as a comprehensive analysis of existing studies, documents and data relevant to digital decision support systems and digital health interventions implemented globally, and assess the performance, challenges and opportunities.

ETHICS AND DISSEMINATION

The study has been approved by the Ethics Review Committee at The Aga Khan University (2023-8514-26533). The dissemination of study findings through scientific publications and seminars will enable programme managers and policymakers to design tools to improve the quality of care provided through telemedicine platforms. This will contribute to efficient decision-making, access and quality of care for primary healthcare in low-income and middle-income countries. This study will also inform policy regarding the scale-up of decision support systems in primary care settings, data privacy and technology interoperability.

Discursive framework for a multi-disease digital health passport in Africa: a perspective

Africa's dual burden of rising incidence of infectious diseases and increasing prevalence of non-communicable diseases (NCDs), such as cardiovascular diseases and diabetes, demands innovative approaches to disease surveillance, response, and cross-border health management in response to growing economic integration and global connectivity. In this context, we propose a discursive framework for the development and implementation of a multi-disease digital health passport (MDDHP) in Africa. The MDDHP would serve as a secure platform for storing and sharing individual health data, offering a comprehensive solution to track and respond to infectious diseases, facilitate the management of NCDs, and improve healthcare access across borders. Empowering individuals to proactively manage their health and improve overall outcomes is a key aspect of the MDDHP. In the paper, we examine the key elements necessary to effectively implement MDDHP, focusing on minimizing risks, maintaining efficacy, and driving its adoption while also taking into consideration the unique contexts of the continent. The paper is intended to provide an understanding of the key principles involved and contribute to the discussion on the development and successful implementation of MDDHP in Africa.

Mapping Digital Public Health Interventions Among Existing Digital Technologies and Internet-Based Interventions to Maintain and Improve Population Health in Practice: Scoping Review

BACKGROUND

The rapid progression and integration of digital technologies into public health have reshaped the global landscape of health care delivery and disease prevention. In pursuit of better population health and health care accessibility, many countries have integrated digital interventions into their health care systems, such as web-based consultations, electronic health records, and telemedicine. Despite the increasing prevalence and relevance of digital technologies in public health and their varying definitions, there has been a shortage of studies examining whether these technologies align with the established definition and core characteristics of digital public health (DiPH) interventions. Hence, the imperative need for a scoping review emerges to explore the breadth of literature dedicated to this subject.

OBJECTIVE

This scoping review aims to outline DiPH interventions from different implementation stages for health promotion, primary to tertiary prevention, including health care and disease surveillance and monitoring. In addition, we aim to map the reported intervention characteristics, including their technical features and nontechnical elements.

METHODS

Original studies or reports of DiPH intervention focused on population health were eligible for this review. PubMed, Web of Science, CENTRAL, IEEE Xplore, and the ACM Full-Text Collection were searched for relevant literature (last updated on October 5, 2022). Intervention characteristics of each identified DiPH intervention, such as target groups, level of prevention or health care, digital health functions, intervention types, and public health functions, were extracted and used to map DiPH interventions. MAXQDA 2022.7 (VERBI GmbH) was used for qualitative data analysis of such interventions' technical functions and nontechnical characteristics.

RESULTS

In total, we identified and screened 15,701 records, of which 1562 (9.94%) full texts were considered relevant and were assessed for eligibility. Finally, we included 185 (11.84%) publications, which reported 179 different DiPH interventions. Our analysis revealed a diverse landscape of interventions, with telemedical services, health apps, and electronic health records as dominant types. These interventions targeted a wide range of populations and settings, demonstrating their adaptability. The analysis highlighted the multifaceted nature of digital interventions, necessitating precise definitions and standardized terminologies for effective collaboration and evaluation.

CONCLUSIONS

Although this scoping review was able to map characteristics and technical functions among 13 intervention types in DiPH, emerging technologies such as artificial intelligence might have been underrepresented in our study. This review underscores the diversity of DiPH interventions among and within intervention groups. Moreover, it highlights the importance of precise terminology for effective planning and evaluation. This review promotes cross-disciplinary collaboration by emphasizing the need for clear definitions, distinct technological functions, and well-defined use cases. It lays the foundation for international benchmarks and comparability within DiPH systems. Further research is needed to map intervention characteristics in this still-evolving field continuously.

TRIAL REGISTRATION

PROSPERO CRD42021265562; https://tinyurl.com/43jksb3k.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

RR2-10.2196/33404.

Prospective systematic risk analysis of the digital technology use within pharmaceutical care

BACKGROUND

Digital technologies are present in every phase of a drug lifecycle, from drug design and development to its dispensing and use. However, given the rapid development and implementation of digital solutions, their monitoring, evaluation, and risk assessment are limited and lacking.

OBJECTIVE

This research is aiming to identify potential errors, quantify and prioritize associated risks in the context of certain technologies used in pharmaceutical care, as well as define corrective measures to improve patient safety and the quality of pharmaceutical care.

METHODS

A 10-member multidisciplinary team conducted Failure Mode and Effect Analysis (FMEA) to identify critical risks, their causes and effects, along with developing corrective measures within the selected digital health components: Telepharmacy, mHealth, Artificial intelligence (AI), and Software infrastructure and systems. Critical risks were determined by calculating risk priority numbers (RPNs) from severity, occurence, and detectability scores.

RESULTS

This study identified 42 risks regarding the 4 components. After calculating RPNs and the threshold RPN (RPN=30), 8 critical risks were identified. Corrective measures were proposed for these failure modes, after which the risks were re-evaluated (RPN sum was reduced from 414 to 156). The risk with the highest RPN value was Internet/identity fraud, while the rest included inadequate and incomplete data entry and management, flawed implementation, human and technology errors, and lack of transparency, personalization and infrastructure. For the critical risks, 42 different causes were recognized on a system, technological and individual level while their effects were discussed in terms of patient safety and business management in pharmacies.

CONCLUSION

Digitalization of pharmaceutical practice promises greater effectiveness of pharmaceutical care, but in order to achieve this, efforts, resources and initiatives must be directed toward timely identification of problems, appropriate monitoring, and building adequate infrastructure that can support safe implementation of digital tools and services despite the swift development of innovations.

Evaluation of activities of daily living using an electronic version of the Longshi Scale in patients with stroke: reliability, consistency, and preference

BACKGROUND

The Longshi Scale is a pictorial assessment tool for evaluating activities of daily living (ADL) in patients with stroke. The paper-based version presents challenges; thus, the WeChat version was created to enhance accessibility. Herein, we aimed to validate the inter-rater and test-retest reliabilities of the WeChat version of the Longshi Scale and explore its potential clinical applications.

METHODS

We recruited 115 patients with stroke in the study. The ADL results of each patient were assessed using both the WeChat and paper-based version of the Longshi Scale; each evaluation was conducted by 28 health professionals and 115 caregivers separately. To explore the test-retest reliability of the WeChat version, 22 patients were randomly selected and re-evaluated by health professionals using the WeChat version. All evaluation criteria were recorded, and all evaluators were surveyed to indicate their preference between the two versions.

RESULTS

Consistency between WeChat and the paper-based Longshi Scale was high for ADL scores by health professionals (ICC2,1 = 0.803-0.988) and caregivers (ICC2,1 = 0.845-0.983), as well as for degrees of disability (κw = 0.870 by professionals; κw = 0.800 by caregivers). Bland-Altman analysis showed no significant discrepancies. The WeChat version exhibited good test-retest reliability (κw = 0.880). The WeChat version showed similar inter-rater reliability in terms of the ADL score evaluated using the paper-based version (ICC2,1 = 0.781-0.941). The time to complete assessments did not differ significantly, although the WeChat version had a shorter information entry time (P < 0.001, 95% confidence interval: -43.463 to -15.488). Health professionals favored the WeChat version (53.6%), whereas caregivers had no significant preference.

CONCLUSIONS

The WeChat version of the Longshi Scale is reliable and serves as a suitable alternative for health professionals and caregivers to assess ADL levels in patients with stroke. The WeChat version of the Longshi Scale is considered user-friendly by health professionals, although it is not preferred by caregivers.

TRIAL REGISTRATION

This study was approved by the Ethics Committee of the Second People's Hospital of Shenzhen (approval number: 20210812003-FS01) and registered on the Clinical Trial Register Center website: clinicaltrials.gov on January 31, 2022 (registration no.: NCT05214638).

Barriers and facilitators to satisfaction with diabetes care: The perspectives of patients attending public diabetic clinics in Dar es Salaam, Tanzania

BACKGROUND

The prevalence of diabetes has been increasing steadily over the past decade in low- and middle-income countries (LMICs) with about three-quarters of people living with the disease globally residing in these countries. Patient satisfaction can be used as a proxy measure of overall facility performance, and its use has been recommended for determining the quality of services provided by healthcare centres and organizations. This study aimed to explore barriers and facilitators towards satisfaction with diabetes care among patients attending public diabetic clinics in Dar es Salaam, Tanzania.

METHODS

A qualitative descriptive study was carried out among people with diabetes attending public diabetic clinics in Dar es Salaam, Tanzania. Using a purposeful sampling technique, 35 people with diabetes were interviewed from May 2023 to July 2023 with the principles of saturation guiding sample size determination. A semi-structured face-to-face interview guide was employed in data collection. The audio-recorded interviews were transcribed and analyzed using a conventional content analysis approach after translation. NVivo 12.0 computer software was employed to organize and code the data.

RESULTS

A total of 35 participants were enrolled in this study with a mean (±SD) age of 58.5 (±13.76) years. Four predominant themes and 12 categories were identified after data analysis including two barriers and two facilitators toward patients' satisfaction with diabetes care. Financial constraints and unfavourable clinic environments were identified as barriers. Furthermore, good provider-patient relationships and continuity of care emerged as facilitators.

CONCLUSION

Barriers and facilitators to patients' satisfaction with diabetes identified in this study are greatly determined by socio-economic and cultural conditions, highlighting the role of the healthcare delivery systems and allied stakeholders in regulatory and policy development to address the existing barriers and consolidate the proven facilitators.

Accelerating implementation of adolescent digital health prevention programs: analysis of insights from Australian stakeholders

Background

Chronic disease risk factors are increasing amongst adolescents, globally. Digital health prevention programs, which provide education and information to reduce chronic disease risk factors need to be equitable and accessible for all. For their success, multiple highly engaged stakeholders should be involved in development and implementation. This study aimed to evaluate stakeholders' support for, and perspectives on potential public health impact of digital health prevention programs for adolescents and potential pathways for future implementation.

Methods

Qualitative semi-structured online interviews with stakeholders. Stakeholder mapping identified key individuals, groups and organizations across Australia that may influence the implementation of digital health prevention programs for adolescents. Recorded and transcribed interviews were analyzed within the Reach, Effectiveness, Adoption, Implementation and Maintenance (RE-AIM) Framework, using deductive content analysis.

Findings

Nineteen interviews were conducted in 2023 with stakeholders from government, health, non-government organizations, youth services, education, community settings and others. Four overarching themes were identified: (i) existing digital health initiatives are not fit for purpose; (ii) the co-creation of digital health prevention programs is critical for successful implementation; (iii) digital health prevention programs must address equity and the unique challenges raised by technology and; (iv) system level factors must be addressed.

Interpretation

Stakeholders broadly supported digital health prevention programs, yet raised unique insights to ensure that future programs create public health impact by improving chronic disease risk factors among adolescents. These insights can be applied in future development of digital health prevention programs for adolescents to strengthen widespread implementation.

Economic Evaluations of Digital Health Interventions for Patients With Heart Failure: Systematic Review

BACKGROUND

Digital health interventions (DHIs) have shown promising results in enhancing the management of heart failure (HF). Although health care interventions are increasingly being delivered digitally, with growing evidence on the potential cost-effectiveness of adopting them, there has been little effort to collate and synthesize the findings.

OBJECTIVE

This study's objective was to systematically review the economic evaluations that assess the adoption of DHIs in the management and treatment of HF.

METHODS

A systematic review was conducted using 3 electronic databases: PubMed, EBSCOhost, and Scopus. Articles reporting full economic evaluations of DHIs for patients with HF published up to July 2023 were eligible for inclusion. Study characteristics, design (both trial based and model based), input parameters, and main results were extracted from full-text articles. Data synthesis was conducted based on the technologies used for delivering DHIs in the management of patients with HF, and the findings were analyzed narratively. The PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines were followed for this systematic review. The reporting quality of the included studies was evaluated using the CHEERS (Consolidated Health Economic Evaluation Reporting Standards) guidelines.

RESULTS

Overall, 27 economic evaluations were included in the review. The economic evaluations were based on models (13/27, 48%), trials (13/27, 48%), or a combination approach (1/27, 4%). The devices evaluated included noninvasive remote monitoring devices (eg, home telemonitoring using digital tablets or specific medical devices that enable transmission of physiological data), telephone support, mobile apps and wearables, remote monitoring follow-up in patients with implantable medical devices, and videoconferencing systems. Most of the studies (24/27, 89%) used cost-utility analysis. The majority of the studies (25/27, 93%) were conducted in high-income countries, particularly European countries (16/27, 59%) such as the United Kingdom and the Netherlands. Mobile apps and wearables, remote monitoring follow-up in patients with implantable medical devices, and videoconferencing systems yielded cost-effective results or even emerged as dominant strategies. However, conflicting results were observed, particularly in noninvasive remote monitoring devices and telephone support. In 15% (4/27) of the studies, these DHIs were found to be less costly and more effective than the comparators (ie, dominant), while 33% (9/27) reported them to be more costly but more effective with incremental cost-effectiveness ratios below the respective willingness-to-pay thresholds (ie, cost-effective). Furthermore, in 11% (3/27) of the studies, noninvasive remote monitoring devices and telephone support were either above the willingness-to-pay thresholds or more costly than, yet as effective as, the comparators (ie, not cost-effective). In terms of reporting quality, the studies were classified as good (20/27, 74%), moderate (6/27, 22%), or excellent (1/27, 4%).

CONCLUSIONS

Despite the conflicting results, the main findings indicated that, overall, DHIs were more cost-effective than non-DHI alternatives.

TRIAL REGISTRATION

PROSPERO CRD42023388241; https://tinyurl.com/2p9axpmc.

"We have been so patient because we know where we are coming from" Exploring the acceptability and feasibility of a mobile electronic medical record system designed for community-based antiretroviral therapy in Lilongwe, Malawi

Background

Mobile health (mHealth) is reshaping healthcare delivery, especially in HIV management. The World Health Organization advocates for mHealth to provide healthcare workers (HCWs) with real-time data, enhancing patient care. However, in Malawi's Lighthouse Trust antiretroviral therapy (ART) clinic, the nurse-led community-based ART (NCAP) program faces hurdles with data management due to lack of access to electronic medical records systems (EMRS) in the community setting. EMRS is not typically available in differentiated service delivery settings where reliable power and internet are often unavailable. We used human-centered design (HCD) processes to create a mobile EMRS prototype, the Community-based ART Retention and Suppression (CARES) app. We explore progress to simplify workflow for HCWs and improve client care.

Methods

To evaluate the CARES app's feasibility and acceptability among NCAP HCWs, we conducted in-depth interviews among 15 NCAP HCWs. We used a rapid qualitative analysis approach guided by the extended Technology Acceptance Model. The study complied with the Consolidated Criteria for Reporting Qualitative Research (COREQ).

Results

As a likely result of HCD, HCWs demonstrated high expectations for the CARES app to improve healthcare delivery and data management. However, challenges such as app performance, data integration, and system navigation were significant barriers to acceptance or feasibility. Despite challenges, HCWs remained optimistic about the potential for CARES to enhance NCAP clinical decision-making and data flow. HCWs emphasized the need for continuous training and stakeholder engagement, improved infrastructure, data security protections, and establishing the CARES app and EMRS integration to facilitate CARES' longterm success at scale.

Conclusion

The study's findings underscore the importance of HCD for mHealth buy-in. As HCWs were invested in CARES success, they remained optimistic that the app could enhance NCAP services if user experience and app performance improved. Incorporation of HCW feedback would help deliver beyond the promise of CARES.

Experiences, Lessons, and Challenges With Adapting REDCap for COVID-19 Laboratory Data Management in a Resource-Limited Country: Descriptive Study

BACKGROUND

The COVID-19 pandemic brought challenges requiring timely health data sharing to inform accurate decision-making at national levels. In Botswana, we adapted and integrated the Research Electronic Data Capture (REDCap) and the District Health Information System version 2 (DHIS2) platforms to support timely collection and reporting of COVID-19 cases. We focused on establishing an effective COVID-19 data flow at the national public health laboratory, being guided by the needs of health care professionals at the National Health Laboratory (NHL). This integration contributed to automated centralized reporting of COVID-19 results at the Ministry of Health (MOH).

OBJECTIVE

This paper reports the experiences, challenges, and lessons learned while designing, adapting, and implementing the REDCap and DHIS2 platforms to support COVID-19 data management at the NHL in Botswana.

METHODS

A participatory design approach was adopted to guide the design, customization, and implementation of the REDCap platform in support of COVID-19 data management at the NHL. Study participants included 29 NHL and 4 MOH personnel, and the study was conducted from March 2, 2020, to June 30, 2020. Participants' requirements for an ideal COVID-19 data management system were established. NVivo 11 software supported thematic analysis of the challenges and resolutions identified during this study. These were categorized according to the 4 themes of infrastructure, capacity development, platform constraints, and interoperability.

RESULTS

Overall, REDCap supported the majority of perceived technical and nontechnical requirements for an ideal COVID-19 data management system at the NHL. Although some implementation challenges were identified, each had mitigation strategies such as procurement of mobile Internet routers, engagement of senior management to resolve conflicting policies, continuous REDCap training, and the development of a third-party web application to enhance REDCap's capabilities. Lessons learned informed next steps and further refinement of the REDCap platform.

CONCLUSIONS

Implementation of REDCap at the NHL to streamline COVID-19 data collection and integration with the DHIS2 platform was feasible despite the urgency of implementation during the pandemic. By implementing the REDCap platform at the NHL, we demonstrated the possibility of achieving a centralized reporting system of COVID-19 cases, hence enabling timely and informed decision-making at a national level. Challenges faced presented lessons learned to inform sustainable implementation of digital health innovations in Botswana and similar resource-limited countries.

Digital Health Platforms for Breast Cancer Care: A Scoping Review

Breast cancer is a significant global health concern affecting millions of women each year. Digital health platforms are an easily accessible intervention that can improve patient care, though their efficacy in breast cancer care is unknown. This scoping review aims to provide an overview of existing research on the utilization of digital health platforms for breast cancer care and identify key trends and gaps in the literature. A comprehensive literature search was conducted across electronic databases, including Ovid MEDLINE, Elsevier EMBASE, and Elsevier Scopus databases. The search strategy incorporated keywords related to "digital health platforms", "breast cancer care", and associated terminologies. After screening for eligibility, a total of 25 articles were included in this scoping review. The identified studies comprised mobile applications and web-based interventions. These platforms demonstrated various functionalities, including patient education, symptom monitoring, treatment adherence, and psychosocial support. The findings indicate the potential of digital health platforms in improving breast cancer care and patients' overall experiences. The positive impact on patient outcomes, including improved quality of life and reduced psychological distress, underscores the importance of incorporating digital health solutions into breast cancer management. Additional research is necessary to validate the effectiveness of these platforms in diverse patient populations and assess their impact on healthcare-resource utilization.

Field based research in the era of the pandemic in resource limited settings: challenges and lessons for the future

The coronavirus pandemic that began in December 2019, has had an unprecedented impact on the global economy, health systems and infrastructure, in addition to being responsible for significant mortality and morbidity worldwide. The "new normal" has brought along, unforeseen challenges for the scientific community, owing to obstructions in conducting field-based research in lieu of minimizing exposure through in-person contact. This has had greater ramifications for the LMICs, adding to the already existing concerns. As a response to COVID-19 related movement restrictions, public health researchers across countries had to switch to remote data collections methods. However, impediments like lack of awareness and skepticism among participants, dependence on paper-based prescriptions, dearth of digitized patient records, gaps in connectivity, reliance on smart phones, concerns with participant privacy at home and greater loss to follow-up act as hurdles to carrying out a research study virtually, especially in resource-limited settings. Promoting health literacy through science communication, ensuring digitization of health records in hospitals, and employing measures to encourage research participation among the general public are some steps to tackle barriers to remote research in the long term. COVID-19 may not be a health emergency anymore, but we are not immune to future pandemics. A more holistic approach to research by turning obstacles into opportunities will not just ensure a more comprehensive public health response in the coming time, but also bolster the existing infrastructure for a stronger healthcare system for countries.

Adapting national data systems for donor transition: comparative analysis of experience from Georgia and China

Health management information systems (HMISs) are essential in programme planning, budgeting, monitoring and evidence-informed decision-making. This paper focuses on donor transitions in two upper-middle-income countries, China and Georgia, and explores how national HMIS adaptations were made and what facilitated or limited successful and sustainable transitions. This comparative analytical case study uses a policy triangle framework and a mixed-methods approach to explore how and why adaptations in the HMIS occurred under the Gavi Alliance and the Global Fund-supported programmes in China and Georgia. A review of published and grey literature, key informant interviews and administrative data analysis informed the study findings. Contextual factors such as the global and country context, and health system and programme needs drove HMIS developments. Other factors included accountability on a national and international level; improvements in HMIS governance by establishing national regulations for clear mandates of data collection and reporting rules and creating institutional spaces for data use; investing in hardware, software and human resources to ensure regular and reliable data generation; and capacitating national players to use data in evidence-based decision-making for programme and transition planning, budgeting and outcome monitoring. Not all the HMIS initiatives supported by donors were sustained and transitioned. For the successful adaptation and sustainable transition, five interlinked and closely coordinated support areas need to be considered: (1) coupling programme design with a good understanding of the country context while considering domestic and external demands for information, (2) regulating appropriate governance and management arrangements enhancing country ownership, (3) avoiding silo HMIS solutions and taking integrative approach, (4) ensuring the transition of funding onto domestic budget and enforcing fulfilment of the government's financial commitments and finally (5) investing in technologies and skilled human resources for the HMIS throughout all levels of the health system. Neglecting any of these elements risks not delivering sustainable outcomes.

The effect of personalized intelligent digital systems for self-care training on type II diabetes: a systematic review and meta-analysis of clinical trials

AIMS

Type 2 diabetes (T2D) is rising worldwide. Self-care prevents diabetic complications. Lack of knowledge is one reason patients fail at self-care. Intelligent digital health (IDH) solutions have a promising role in training self-care behaviors based on patients' needs. This study reviews the effects of RCTs offering individualized self-care training systems for T2D patients.

METHODS

PubMed, Web of Science, Scopus, Cochrane Library, and Science Direct databases were searched. The included RCTs provided data-driven, individualized self-care training advice for T2D patients. Due to the repeated studies measurements, an all-time-points meta-analysis was conducted to analyze the trends over time. The revised Cochrane risk-of-bias tool (RoB 2.0) was used for quality assessment.

RESULTS

In total, 22 trials met the inclusion criteria, and 19 studies with 3071 participants were included in the meta-analysis. IDH interventions led to a significant reduction of HbA1c level in the intervention group at short-term (in the third month: SMD = - 0.224 with 95% CI - 0.319 to - 0.129, p value < 0.0; in the sixth month: SMD = - 0.548 with 95% CI - 0.860 to - 0.237, p value < 0.05). The difference in HbA1c reduction between groups varied based on patients' age and technological forms of IDH services delivery. The descriptive results confirmed the impact of M-Health technologies in improving HbA1c levels.

CONCLUSIONS

IDH systems had significant and small effects on HbA1c reduction in T2D patients. IDH interventions' impact needs long-term RCTs. This review will help diabetic clinicians, self-care training system developers, and researchers interested in using IDH solutions to empower T2D patients.

Eco-Friendly and COVID-19 Friendly? Decreasing the Carbon Footprint of the Operating Room in the COVID-19 Era

Surgery is one of the most energy-intensive branches of healthcare. Although the COVID-19 pandemic has reduced surgical volumes, infection control protocols have increased the ecological footprint of surgery owing to the extensive use of personal protective equipment, sanitation, testing and isolation resources. The burden of environmental diseases requiring surgical care, the international commitment towards environmental sustainability and the global efforts to return to the pre-pandemic surgical workflow call for action towards climate-friendly surgery. The authors have searched the peer-reviewed and gray literature for clinical studies, reports and guidelines related to the ecological footprint of surgical care and the available solutions and frameworks to reduce it. Numerous studies concede that surgery is associated with a high rate of energy utilization and waste generation that is comparable to major non-medical sources of pollution. Recommendations and research questions outlining environmentally sustainable models of surgical practices span from sanitation and air quality improvement systems to the allocation of non-recyclable consumables and energy-efficient surgical planning. The latter are particularly relevant to infection control protocols for COVID-19. Paving the way towards climate-friendly surgery is a worthy endeavor with a major potential to improve surgical practice and outcomes in the long term.

Effects of Digital Physical Activity Interventions for Breast Cancer Patients and Survivors: A Systematic Review and Meta-Analysis

OBJECTIVES

The benefits of physical activity (PA) for breast cancer (BC) patients and survivors are well documented. With the widespread use of the internet and mobile phones, along with the recent coronavirus disease 2019 pandemic, there has been a growing interest in digital health interventions. This study conducted a systematic review and meta-analysis to evaluate the effects of digital PA interventions for BC patients and survivors in improving PA and quality of life (QoL).

METHODS

We searched eight databases, including PubMed, CINAHL, Embase, Scopus, Web of Science, Cochrane Central Register of Controlled Trials in the Cochrane Library, RISS, and DBpia. Studies were included if they provided digital PA interventions, assessed PA and QoL among BC patients and survivors, and were published from inception to December 31, 2022.

RESULTS

In total, 18 studies were identified. The meta-analysis showed significant improvement in the total PA duration (five studies; standardized mean difference [SMD] = 0.71; 95% confidence interval [CI], 0.25-1.18; I2 = 86.64%), functional capacity (three studies; SMD = 0.38; 95% CI, 0.10-0.66; I2 = 14.36%), and QoL (nine studies; SMD = 0.45; 95% CI, 0.22-0.69; I2 = 65.55%).

CONCLUSIONS

Digital PA interventions for BC patients and survivors may significantly improve PA, functional capacity, and QoL. Future research should focus on the long-term effects of digital PA interventions, using objective outcome measures.

Prostate cancer, online health information and communication technology - Bibliometric analysis of field with research frontiers

OBJECTIVES

The purpose of this study is to conduct the first bibliometric analysis which examines eHealth communication technologies in prostate cancer care, and the utilization of internet-based health information and communication technology by men with prostate cancer.

METHODS

Original articles were extracted from the Science Citation Index Expanded (SCI-E) on Web of Science (WOS) and analyzed concerning their distributions. Quantitative guidance directed investigation of findings from previous studies and trending issues within the field. The WOS, VOSViewer and CiteSpace IV were used for information analysis.

RESULTS

302 articles were included in the final analysis. There has been a 165 % increase in productivity over the past decade. The leading country by publication was the USA (145 articles = 48.02 %). Journals which published the highest number of original articles were the Journal of Medical Internet Research (6.95 %), and Patient Education and Counseling (4.64 %).

DISCUSSION AND PRACTICE IMPLICATIONS

The field of research which examines utilization and impacts of internet-based health information on men with prostate cancer is growing and diverse. Research frontiers are 'Information quality and diversity', 'eHealth literacy', 'decision making', and 'survivorship and advanced disease'. Clinicians should be aware of several significant limitations which exist within the current field of research.

The promise of digital healthcare technologies

Digital health technologies have been in use for many years in a wide spectrum of healthcare scenarios. This narrative review outlines the current use and the future strategies and significance of digital health technologies in modern healthcare applications. It covers the current state of the scientific field (delineating major strengths, limitations, and applications) and envisions the future impact of relevant emerging key technologies. Furthermore, we attempt to provide recommendations for innovative approaches that would accelerate and benefit the research, translation and utilization of digital health technologies.

Improving Predictability and Effectiveness in Preventive Digital Health Interventions: Scoping Review

BACKGROUND

Lifestyle-related diseases caused by inadequate diet and physical activity cause premature death, loss of healthy life years, and increased health care costs. Randomized controlled trial (RCT) studies indicate that preventive digital health interventions (P-DHIs) can be effective in preventing these health problems, but the results of these studies are mixed. Adoption studies have identified multiple factors related to individuals and the context in which they live that complicate the transfer of positive results from RCT studies to practical use. Implementation studies have revealed barriers to the large-scale implementation of mobile health (mHealth) solutions in general. Consequently, there is no clear path to delivering predictable outcomes from P-DHIs and achieving effectiveness when scaling up interventions to reduce health problems in society.

OBJECTIVE

This research aimed to expand our understanding of how to increase the outcome predictability of P-DHIs by focusing on physical activity and diet behaviors and amplify our understanding of how to improve effectiveness in large-scale implementations.

METHODS

The research objective was pursued through a multidisciplinary scoping review. This scoping review used the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews) as a guide. A comprehensive search of Web of Science and PubMed limited to English-language journal articles published before January 2022 was conducted. Google Scholar was used for hand searches. Information systems theory was used to identify key constructs influencing outcomes of IT in general. Public health and mHealth literature were used to identify factors influencing the adoption of, outcomes from, and implementation of P-DHIs. Finally, the P-DHI investment model was developed based on information systems constructs and factors from the public health and mHealth literature.

RESULTS

In total, 203 articles met the eligibility criteria. The included studies used a variety of methodologies, including literature reviews, interviews, surveys, and RCT studies. The P-DHI investment model suggests which constructs and related factors should be emphasized to increase the predictability of P-DHI outcomes and improve the effectiveness of large-scale implementations.

CONCLUSIONS

The research suggests that outcome predictability could be improved by including descriptions of the constructs and factors in the P-DHI investment model when reporting from empirical studies. Doing so would increase our understanding of when and why P-DHIs succeed or fail. The effectiveness of large-scale implementations may be improved by using the P-DHI investment model to evaluate potential difficulties and possibilities in implementing P-DHIs to create better environments for their use before investing in them and when designing and implementing them. The cost-effectiveness of large-scale implementations is unknown; implementations are far more complicated than just downloading and using apps, and there is uncertainty accompanying implementations given the lack of coordinated control over the constructs and factors that influence the outcome.